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Developing and Using Models - NGSS Science and Engineering Practices

A K-12 progression of the NGSS Science and Engineering Practice of Developing and Using Models.

Performance Expectations that make use of this Science and Engineering Practice - https://ngss.nsta.org/Practices.aspx?id=2

What's Represented?

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

Prisoner's Dilemma (Tit for Tat)

A participatory simulation where partners examine strategies of cooperation versus individual gain. Based on the game theory activity of Prisoner's Dilemma, this activity introduces students to the contrast between theories of "Tragedy of the Commons" (individuals maximizing their own gain will result in collapse of the resources) and classic economic theory (maximum individual gain will lead to greatest efficiency).

Scavenger Hunt for Teachers

This scavenger hunt asks teachers to locate various Project GUTS resources. A fun tool to increase familiarity with Project GUTS and what's available.

Understanding by Design

Understanding by Design (UbD) curriculum offers a 3-stage “backward design” framework for developing units of study. The same process guides larger-scale curriculum development for courses and
programs (macro level). The UbD curriculum structure for building a coherent curriculum spirals around “big ideas,” essential questions, and core assessments.

BCSC 5e Instructional Model

BSCS (Biological Sciences Curriculum Study) paper explaining the 5e instructional model. The model describes a teaching sequence that can be used for entire programs, specific units, and individual lessons. The BSCS 5E Instructional Model plays a significant role in the curriculum development process as well as the enactment of curricular materials in science classrooms.

An Example of CT in the Workplace

This is an example of how a computer modeler uses various aspect of computational thinking while designing, creating and using a computer model as a tool to think with.

Guía de estudiantes para la actividad "Dados y datos" (Dice & Data)

Esta es la hoja de actividad para los estudiantes para "Dados y datos", una actividad de probabilidad. La probabilidad juega un rol importante en los modelos de sistemas complejos adaptativos. En esta actividad se programan agentes para imitar el movimiento de criaturas en el mundo real. También eventos aleatorios que ocurren cuando los agentes interactúen como por ejemplo contagiar una persona a otra.

¿Complejo o complicado?

¿Complejo o Complicado? utiliza una presentación de diapositivas para crear una actividad que se utiliza para involucrar a los estudiantes en argumentar basándose en evidencias y mejorar su comprensión sobre los sistemas adaptativos complejos.

Skill Building Deck

A slide deck of exercises to build CS and decoding skills

NGSS Standards

Document highlighting the conceptual shifts in the Next Generation Science Standards

Computational Thinking for Youth in Action (2011)

This is an early paper of Computational Thinking that has a lot of traction. It's where we first describe the Use-Modify-Create trajectory.

Assessing Youth's Computational Thinking (2011)

AERA conference proceedings 2011

Application of the Occupational Analysis of Computational Thinking-Enabled STEM Professionals as a Program Assessment Tool (2012)

Journal of Computational Science Education (2012)

Integrating Computational Thinking Across the K-8 Curriculum (2014)

ACM InRoads (2014)

Reclaiming the roots of CT (2016)

CSTA Voice 2016

Preparing STEM Teachers to offer Computer Science for All (2017)

ACM SIGCSE 2017

Profile of a CT Integration Specialist (2017)

Computational Thinking Education 2017 conference

Developing a framework for computational thinking from a disciplinary perspective (2018)

Proceedings of the International Conference on Computational Thinking
Education 2018. Hong Kong: The Education University of Hong Kong.

Simulación de un brote de Dengue

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.